Algorithmic Learning Theory [[electronic resource] ] : 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings / / edited by Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
• Edizione: 1st ed. 2014.
• Descrizione fisica: 1 online resource (XVIII, 351 p. 22 illus.)
• Disciplina: 005.1
• Soggetto topico: Artificial intelligence; Computers; Data mining; Pattern recognition; Artificial Intelligence; Theory of Computation; Data Mining and Knowledge Discovery; Pattern Recognition
• Persona (resp. second.): AuerPeter; ClarkAlexander; ZeugmannThomas; ZillesSandra
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di contenuto: Inductive Inference -- Exact Learning from Queries -- Reinforcement Learning -- Online Learning and Learning with Bandit Information -- Statistical Learning Theory -- Privacy, Clustering, MDL, and Kolmogorov Complexity.
• Sommario/riassunto: This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. In addition the book contains 4 full papers summarizing the invited talks. The papers are organized in topical sections named: inductive inference; exact learning from queries; reinforcement learning; online learning and learning with bandit information; statistical learning theory; privacy, clustering, MDL, and Kolmogorov complexity.
• Titolo autorizzato: Algorithmic Learning Theory
• ISBN: 3-319-11662-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996213650903316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Artificial Intelligence ; ; 8776